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clip-vit-base-patch32-openvino

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s-emanuilov commited on Oct 25, 2023

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26f5e9f

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1 Parent(s): 1919a81

Update README.md

added information how the benchmark is performed

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@@ -23,7 +23,7 @@ To increase the efficiency of the model during inference, we utilized the OpenVI
 | min                |                           0.39 |                            0.36  |            1 |
 | max                |                           0.70 |                            0.62  |            1 |
-OpenVINO offers a 1.12x speedup in inference time compared to PyTorch. It was measured on same image in 100 iterations on
 The results indicate that the OpenVINO™ optimization provides a consistent improvement in inference time while maintaining the same level of accuracy (as indicated by the similarity score).

 | min                |                           0.39 |                            0.36  |            1 |
 | max                |                           0.70 |                            0.62  |            1 |
+OpenVINO offers a 1.12x speedup in inference time compared to PyTorch. It was measured on same image in 100 iterations on Intel(R) Xeon(R) CPU @ 2.20GHz (CPU family: 6, Model: 79).
 The results indicate that the OpenVINO™ optimization provides a consistent improvement in inference time while maintaining the same level of accuracy (as indicated by the similarity score).